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Thu 7 Dec - Fri 8 Dec 2023
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building

Provided by: Bioinformatics


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June 2024


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Introduction to Metabolomics (IN-PERSON)
BeginnersUpdated

Thu 7 Dec - Fri 8 Dec 2023

Description

The goal of metabolomics is to identify and quantify the complete biochemical composition of a biological sample. With the increase in genomic, transcriptomic and proteomic information there is a growing need to understand the metabolic phenotype that these genes and proteins ultimately control.

The aim of this course is to provide an introductory overview of metabolomics and its applications in life sciences and environmental settings. We will introduce different techniques used to extract metabolites and analyse samples to collect metabolomic data (such as HPLC or GC-based MS and NMR), present how to analyse such data, how to identify metabolites using online databases and how to map the metabolomic data to metabolic pathways.


If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information
  • ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
  • Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
  • Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
  • Further details regarding eligibility criteria are available here.
Target audience
  • This course is aimed at researchers with an interest in metabolomics and its applications.
  • No prior experience in the analysis of these types of data is required.
Sessions

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 7 Dec 2023   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Dr Matt P Davey,  Dr Alexandra M Murphy,  Dr Reza Salek
2 Fri 8 Dec 2023   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Dr Matt P Davey,  Dr Alexandra M Murphy,  Dr Reza Salek,  Dr Lorraine Archer
Topics covered

Bioinformatics, Data visualisation, Data handling, Metabolomics

Objectives

During this course you will learn about:

  • Evaluating the advantages and limitations of the analytical techniques used in metabolomics studies.
  • Recognizing the principles behind data analysis and metabolite identification including key statistical methods.
  • Accessing and using a number of key online resources for metabolomics research, including databases for metabolomics data.
Aims

After this course you should be able to:

  • Recognise the different metabolomics techniques available and their suitability for different applications.
  • Process and analyse metabolomics data, including how to apply univariate and multivariate statistical analysis techniques.
  • Use pathway databases to perform metabolic pathway and network analysis.
  • Work with and explore metabolomic and chemical databases.
Format

Presentations, demonstrations and practicals

Timetable
Day Time Topics
Day 1 9:30 - 10:00 Introduction to metabolomics: what it can and cannot do
10:00 - 11:00 Targeted and untargeted metabolomics introduction
11:00 - 11:15 Break
11:15 - 12:30 How to identify one metabolite (practical)
12:30 - 13:30 Lunch (not provided)
13:30 - 15:00 From simple statistics to multivariate stats (inc. practical)
15:00 - 15:15 Break
15:15 - 16:00 Application of NMR in metabolomics
16:00 - 17:00 Quantification/Standard curves from GC (practical)
Day 2 9:30 - 10:30 Data Integration Theory
10:30 - 11:15 Volatiles and Gases – SPME and headspace ECD analysis
11:15 - 11:30 Break
11:30 - 13:00 Pathway Analysis theory and practical
13:00 - 14:00 Lunch (not provided)
14:00 - 14:45 Metabolomic resource databases
14:45 - 17:00 Study Design and Data Clinic
Registration Fees
  • Free for registered University of Cambridge students
  • £ 60/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 60/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 120/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

2

Frequency

A number of times per year

Theme
Bioinformatics

Booking / availability